BJ Data Tech Solution

Specialized on Data processing, Data management Implementation plan, Data Collection tools - electronic and paper base, Data cleaning specifications, Data extraction, Data transformation, Data load, Analytical Datasets, and Data analysis. BJ Data Tech Solutions teaches on design and developing Electronic Data Collection Tools using CSPro, and STATA commands for data manipulation. Setting up Data Management systems using modern data technologies such as Relational Databases, C#, PHP and Android.

Is there a good way to test whether explanatory power among variables varies across populations?
Is there a good way to test whether explanatory power among variables varies across populations?

Let's imagine I want to assess whether the explanatory power of daily calories, minutes of exercise, and hours of sleep has different explanatory power over BMI for men compared to women. Is there a good way to evaluate this beyond just doing regressions for each sample and comparing R^2?

I could run two models and compare their R-squared values, but I'm wondering if there is a better way.

BJ Data Tech Solution

Home / Data Cleaning / Data management / Data Processing / Is there a good way to test whether explanatory power among variables varies across populations?
Is there a good way to test whether explanatory power among variables varies across populations?

0 Response to Is there a good way to test whether explanatory power among variables varies across populations?

Post a Comment

Home / Data Cleaning / Data management / Data Processing / Is there a good way to test whether explanatory power among variables varies across populations? Is there a good way to test whether explanatory power among variables varies across populations?

0 Response to Is there a good way to test whether explanatory power among variables varies across populations?